Top Hybrid Machine Learning Engineer Jobs

As a Lead AI Engineer, you will design, develop, and scale backend and ML systems, mentor engineers, and collaborate to create predictive ML solutions.

As a Senior AI Engineer, you will enhance AI models for fall detection, manage ML systems, and develop data pipelines, ensuring high accuracy and deployment.

Lead the development and implementation of machine learning models for mortgage risk assessments, ensuring compliance and operational integration.

The Principal Machine Learning Engineer will lead the technical direction of ML solutions for Snapchat, focusing on design, deployment, and oversight of core ML initiatives.

The Senior Applied AI Engineer will build multimodal systems, implement streaming pipelines, and mentor team members, focusing on AI and data integration.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

The Principal Machine Learning Engineer will lead AI/ML product development, drive innovation, and collaborate across teams to enhance machine learning frameworks.

The role involves developing an AI agent platform, building ML models, and enhancing user experiences with advanced algorithms. Collaboration and fast-paced execution are key.

Lead experimentation, develop predictive models, and guide product strategies to improve user onboarding and retention in therapy applications.

As a Senior Machine Learning Engineer, you will build intelligent search experiences that leverage machine learning for domain name suggestions, focusing on retrieval and ranking systems.